Alvin Modales | Computer Science | Innovative Research Award

Innovative Research Award

Alvin Modales
National Taiwan Ocean University

Alvin Modales
Affiliation National Taiwan Ocean University
Country Romania
Scopus ID 57853468800
Documents 3
Citations 10
h-index 2
Subject area Computer Science
Event International PopularScientist Awards
ORCID 0000-0002-0605-331X

The Innovative Research Award profile presents the supplied academic affiliation, bibliometric indicators, research subject area, and researcher-identification links for Alvin Modales. The profile is intended to provide a structured overview for academic recognition associated with the International PopularScientist Awards. The information supplied for this article includes a Scopus author identifier, reported publication and citation metrics, and a list of five research records attributed in the source material to a different named researcher.  [1] [2]

Abstract

This article documents the supplied academic profile of Alvin Modales in connection with the Innovative Research Award associated with the International PopularScientist Awards. The reported profile information identifies National Taiwan Ocean University as the institutional affiliation, Romania as the country, Computer Science as the subject area, and a Scopus author identifier of 57853468800. The supplied bibliometric indicators are three documents, ten citations, and an h-index of two. These figures are presented as reported values and have not been independently verified against a current author record. [1]

Keywords

Innovative Research Award; Alvin Modales; academic recognition; Computer Science; research evaluation; bibliometrics; Scopus author profile; citation analysis; ORCID; research impact; scholarly communication; International PopularScientist Awards.

Introduction

Academic recognition programmes commonly consider research outputs, publication quality, citation activity, originality, and the broader relevance of a researcher’s work. These dimensions provide complementary perspectives: publication counts describe output volume, citation indicators offer a partial view of scholarly attention, and qualitative review examines research methods, originality, reproducibility, and significance. No single bibliometric indicator can adequately represent the full value of an academic contribution. [3]

Research Profile

The supplied profile assigns Computer Science as the research subject area. No verified list of publications authored by Alvin Modales, detailed research statement, or independently confirmed institutional biography was included in the information provided. It is therefore not possible to establish specific research specialisations, methodological expertise, or a sustained research programme solely from the supplied profile fields. [2]

Research Contributions

The supplied information does not provide sufficient verified evidence to describe specific scientific discoveries, software systems, theoretical advances, datasets, or other original contributions by Alvin Modales. A scholarly account of contributions should be based on confirmed publications and supporting documentation rather than inferred from an award title or a general subject classification.

Publications

Five bibliographic records were included in the supplied source material. The source notes attribute these records to contributors including J. Hrib, J. Šmucler, and other named researchers, with some entries described as originating from a Scopus export associated with Roman Šmucler. The supplied information does not establish a bibliographic connection between those records and Alvin Modales or Scopus author ID 57853468800. They are consequently listed as unverified records supplied for review, not as confirmed publications by the nominee. [1]

Research Impact

Research impact can be assessed through a combination of quantitative indicators and qualitative evidence. Citation totals and h-index values provide limited information about the attention received by indexed publications, while field, publication age, collaboration patterns, research quality, and the intended application of findings influence how these indicators should be interpreted. Bibliometric indicators are most informative when used alongside contextual assessment rather than as standalone measures of scientific quality. [3]

Award Suitability

The Innovative Research Award is presented in this article in the context of the International PopularScientist Awards. Assessing a candidate’s suitability for research recognition ordinarily requires evidence of identifiable research contributions, verified authorship, appropriate methodological standards, and a demonstrable contribution to the relevant discipline. The assessment should also consider the criteria officially published by the awarding organisation.

Conclusion

This article organises the supplied academic information for Alvin Modales in a Wikipedia-inspired research recognition format. It records National Taiwan Ocean University as the supplied institutional affiliation, Romania as the supplied country, Computer Science as the subject area, and the Scopus and ORCID identifiers provided in the source material. The reported metrics are three documents, ten citations, and an h-index of two; they remain unverified in this article.

References

    1. Elsevier. (n.d.). Scopus author details: Alvin Modales, Author ID 57853468800. Scopus. The supplied identifier and reported metrics should be checked against the live author record; this article does not independently confirm their association with the named researcher.
      https://www.scopus.com/authid/detail.uri?authorId=57853468800
    2. ORCID. (n.d.). ORCID record identified by 0000-0002-0605-331X. The supplied identifier is included for record discovery; the identity match and associated works have not been independently confirmed in this article.
      https://orcid.org/0000-0002-0605-331X
    3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. This article introduces the h-index as a bibliometric measure.
      https://doi.org/10.1073/pnas.0507655102
    4. Hrib, J., Sirc, J., Lesny, P., Hobzova, R., Duskova-Smrckova, M., Michalek, J., and colleagues. (2017). Hydrogel tissue expanders for stomatology. Part I. Methacrylate-based polymers. Journal of Materials Science: Materials in Medicine. Bibliographic details and contributor list are reproduced from the supplied material; attribution to Alvin Modales has not been established.
      https://doi.org/10.1007/s10856-016-5818-y

Nael Radwan | Computer Science | Research Excellence Award

Dr. Nael Radwan | Computer Science | Research Excellence Award

Dr. Nael Radwan is a computer science researcher specializing in Internet of Things, network security, and computer networks, with strong expertise in protocol optimization and distributed systems. His research focuses on securing IoT environments through adaptive flow control, authentication mechanisms, and performance evaluation under high-load conditions. He has contributed multiple peer-reviewed publications addressing MQTT protocol security and system resilience. His academic experience includes teaching, curriculum design, and student mentoring across diverse computing disciplines. He integrates research with teaching, emphasizing outcomes-based education, instructional technology, and ethical computing, while contributing to academic assessment, program development, and innovation in technology-enhanced learning environments.

Citation Metrics (Google Scholar)

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Citations
1111

h-index
22

🟦 Citations    🟥 i10-index    🟩 h-index


View Google Scholar Profile

Featured Publications


A Study: The Future of the Internet of Things and Its Home Applications

– International Journal of Computer Science and Information Security


Big Data Ethics

– International Journal of Computer Science and Information Security


MQTT in Focus: Understanding the Protocol and Its Recent Advancements

– International Journal of Computer Science and Security


Underwater Communication through Medium Access Control

– International Journal of Computer Science

 

Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Abdelrhman BASSIOUNY | Computer Science and Artificial Intelligence | Best Researcher Award

University of Bremen Germany

Abdelrhman Bassiouny is a passionate Egyptian robotics researcher specializing in marine robotics, autonomous systems, and AI-powered disassembly. With international experience across Germany, France, and Egypt, he combines technical mastery in robotics with a strong academic background. He thrives in hands-on innovation, contributing to cutting-edge projects from underwater VSLAM to robotic e-waste disassembly. 🌊🤖

Profile

Research Gate

Scopus

🎓 Education

Abdelrhman is currently completing his Erasmus Mundus Joint Master’s Degree in Marine & Maritime Intelligent Robotics (MIR), where he studied at Université de Toulon (France) and Universidad Jaume I (Spain). He graduated with honors in Mechatronics & Automation Engineering from Ain Shams University, Egypt. He also expanded his knowledge through specialized online courses in Deep Learning, Self-Driving Cars, and Project Management. 📘🌍
🔗 Master MIR Program
🔗 Ain Shams University

🛠️ Experience

Abdelrhman brings versatile research and teaching experience:

  • Master Thesis Intern at University of Bremen (Germany): Developed a query interface and machine learning pipeline for NEEMs robotics database.

  • Underwater VSLAM Intern at Laboratoire COSMER (France): Benchmarked SLAM algorithms using BlueROV in collaboration with IFREMER.

  • Research Assistant at Ain Shams University (Egypt): Led autonomous robotic disassembly projects, winning 3rd place in Robothon 2021.

  • Teaching Assistant at Ain Shams University: Taught ROS-based robotic control and supervised final-year projects.
    🌐 LinkedIn | 🌍 Personal Website

🔬 Research Interests

Abdelrhman’s research centers on:

  • Autonomous Robotics & Human-Robot Interaction 🤝

  • Symbolic Reasoning & Knowledge Representation 🧠

  • Underwater SLAM and Marine Robotics 🌊

  • E-waste Disassembly Automation using AI ♻️

  • ROS, TensorFlow, and Vision-based Robotics 📷

🏆 Awards

  • 🥇 Best Scientific Methodology Award – RoboCup MSL 2022 (Thailand)
    ➤ RoboCup 2022 History

  • 🥈 Runner-Up – MIR Championship – Guerledus Challenge 2022
    ➤ Challenge Info

  • 🥉 3rd Place + Lightning Speed Award – Robothon Grand Challenge 2021 (TUM, Germany)
    ➤ Robothon Video

📚 Publications Top Notes: 

Prompt: Publications with hyperlinks, published year, journal (if applicable), and citation details in paragraph form.

Abdelrhman has authored two impactful research publications related to robotic disassembly of electronic waste:

“Comparison of Different Computer Vision Approaches for E-waste Components Detection to Automate E-waste Disassembly” (2021) – This paper evaluates vision-based algorithms for component detection, supporting more efficient and sustainable e-waste recycling.
🔗 View Publication
📈 Cited by: Google Scholar results

“Autonomous Non-Destructive Assembly/Disassembly of Electronic Components using A Robotic Arm” (2021) – Introduced a robotic system for semi-destructive disassembly using ROS and vision systems.
🔗 View Publication
📈 Cited by: Google Scholar results

Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Xiang Ma | Computer Science and Artificial Intelligence | Best Researcher Award

Postgraduate sichuan unviersity China

📖 Xiang Ma is a student at Sichuan University specializing in Electronic Information and Control Engineering. His research focuses on developing innovative solutions for image super-resolution reconstruction in construction site scenarios. By leveraging computer vision, machine learning, and engineering principles, Xiang’s work aims to improve image quality, safety, and monitoring efficiency in real-world construction environments.

Profile

Orcid

Education

🎓 Xiang Ma is pursuing a degree in Electronic Information and Control Engineering at Sichuan University. With a strong academic foundation, he integrates principles of electronic systems, computer vision, and machine learning in his research.

Experience

🔧 Xiang Ma has contributed to three completed and ongoing research projects, including collaborations with CSCEC First Bureau Technology R&D Program and the Sichuan Province Major Special Project on Intelligent Manufacturing and Robotics. His work bridges academic research with industrial applications in safety and automation technologies for construction sites.

Research Interest

🔍 Xiang Ma is passionate about Image Super-Resolution Reconstruction, with a focus on enhancing low-resolution images affected by noise in construction scenarios. His research includes proposing the Lightweight Feature Enhancement Network (LFEN) to improve visual perception, edge detection, and noise immunity using advanced machine learning techniques.

Awards

🏆 Xiang Ma is applying for the Best Researcher Award for his contributions to image processing technologies in construction scenarios. His work has been recognized for its innovative approach to leveraging lightweight network designs for practical applications.

Publications Top Notes: 

📚 Xiang Ma has published three research papers in prestigious journals:

Liu, Y., Ma, X. & Cheng, J. (2024). Lightweight Feature Enhancement Network for Image Super-Resolution Reconstruction at Construction Sites. Arab Journal of Science and Engineering. Published Year: 2024. Cited by: 15 articles.